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Title: No-reference image quality assessment using structural activity
Authors: Zhang, J. 
Le, T.M. 
Ong, S.H. 
Nguyen, T.Q.
Keywords: Image quality assessment
No-reference image quality assessment
Structural activity
Issue Date: Nov-2011
Citation: Zhang, J., Le, T.M., Ong, S.H., Nguyen, T.Q. (2011-11). No-reference image quality assessment using structural activity. Signal Processing 91 (11) : 2575-2588. ScholarBank@NUS Repository.
Abstract: Presuming that human visual perception is highly sensitive to the structural information in a scene, we propose the concept of structural activity (SA) together with a model of SA indicator in a new framework for no-reference (NR) image quality assessment (QA) in this study. The proposed framework estimates image quality based on the quantification of the SA information of different visual significance. We propose some alternative implementations of SA indicator in this paper as examples to demonstrate the effectiveness of the SA-motivated framework. Comprehensive testing demonstrates that the model of SA indicator exhibits satisfactory performance in comparison with subjective quality scores as well as representative full-reference (FR) image quality measures. © 2011 Elsevier B.V. All rights reserved.
Source Title: Signal Processing
ISSN: 01651684
DOI: 10.1016/j.sigpro.2011.05.011
Appears in Collections:Staff Publications

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